Advances of Evolutionary Computation: Methods and Operators
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Advances of Evolutionary Computation: Methods and Operators: (629 Studies in Computational Intelligence)

Advances of Evolutionary Computation: Methods and Operators: (629 Studies in Computational Intelligence)

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About the Book

The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently from the others. The book contains nine chapters with the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO), 3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB) algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search (LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE) method, 8) the multimodal CAB, 9) the constrained SSO method.

Table of Contents:
Introduction.- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization.- An Algorithm for Global Optimization Inspired by Collective Animal Behavior.- A Bio-inspired Evolutionary Algorithm: Allostatic Optimization.- Optimization Based on the Behavior of Locust Swarms.    


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Product Details
  • ISBN-13: 9783319803661
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 202
  • Returnable: N
  • Width: 155 mm
  • ISBN-10: 3319803662
  • Publisher Date: 31 Mar 2018
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: 629 Studies in Computational Intelligence


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